Linking data to publications: lessons learned from a pilot implementation – Donatella Castelli

OpenAIRE interoperability workshop, 7‐8 February 2013, Minho

Linking data to publications: lessons learned from a pilot implementation

Donatella CastelliCNR‐ISTI


Outline

1. The context: ICORDI & RDA 2. Linking research resources: prototype &

interoperability issues


ICORDI

Objective: “To establish a coordination platformbetween Europe and USA to discuss and improve theinteroperability of today’s and tomorrow’s scientificinfrastructures of both continents and to extend thisto the global levels”

Started in September 2012https://www.icordi.eu/


Merging of multiple Initiatives

RDARDA

ICORDI(EU)

ICORDI(EU)

ANDS(Australia)ANDS

(Australia)DWF(US)DWF(US)


Research Data Alliance

“To facilitate specific, short‐term efforts thataccelerate the sharing and exchange of research data”

Working groups serving as accelerants to data sharing practice and infrastructure interopeability

Adopted standards Deployed infrastructure Adopted policy Implemented best practice, etc.

http://rd‐alliance.org


The context: many e‐Infrastructures(infrastructure for a purpose)

Storage, curation and preservation of large amound

of data

Data sharing and seemless access to

different heterogeneous data

repositories

Data analysis & mining

Scientificcommunication& assessment

+ other variants (e.g. particular domain, specific data type, certain geographical region)


The addressed challenge:e‐Infrastructure ecosystem

Storage, curation and preservation of large amound

of data

Data sharing and seemless access to

different heterogeneous data

repositories

Scientificcommunication &

assessment

Data analysis & mining


Interoperability is the key issue

Discover resourcesAccess and understand resourcesUse (e.g. analyse, process, deploy, etc.) resources

COMPLEXITY


OpenAIRE mandate:e‐Infra for scientific information

Articles on compleme

ntary subjects

Relevant experimental datasets

Tools for analysis and

modelling

Working datasets

Illustrative graphs

Documentation

Observation data

Data projections on map

Research processes require to retrieve, access and reuse a large variety of resources often made available from scientists working in different domains

Article


“New publications”: relationships explicitly specified by the author

Structured Publications (e.g.ElsevierArticle of the Future)Compound Objects (e.g. enhanced publications, modular articles)Live articles (e.g. D4Science dynamic reports)Experiment‐oriented publication (e.g. Scientific Publication Package , My‐Experiment research objects)……..

10


OpenAIRE now: “Automatic” identification of relationships


ntary subjects

Relevant experimental datasets


modelling

Working datasets

Illustrative graphs

Documentation

Observation data


PaperBy metadata harvesting


The ICORDI Prototype


ntary subjects

Relevant experimen

tal datasets


modelling

Working datasets

Documentation

Observation data


Paper

Illustrative graphs

By querying different data sources/infra


Search in a data source /aggregator


Results


Selecting the target data source


Visualization of the result


Working in progress & plans

Configurable criteriaMore selective algorithmsAuthority Registries in identifying relationships

of general applicability (e.g. ORCID)applicable to specific domains/collections (e.g. Catalogue of Life)


Main Challenge: Interoperability

Discovery in an open set of data sources/data infrastructures

Dichotomy between digital libraries/repositories, data centers & swrepositories


THANK [email protected]

Technology

Linking data to publications: lessons learned from a pilot implementation – Donatella Castelli